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» Models and Issues in Data Stream Systems
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ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
15 years 1 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
EUROPAR
2008
Springer
14 years 11 months ago
Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor
Abstract. We describe compiler and run-time optimisations for effective autoparallelisation of C++ programs on the Cell BE architecture. Auto-parallelisation is made easier by anno...
Alastair F. Donaldson, Paul Keir, Anton Lokhmotov
SAC
2009
ACM
15 years 4 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
VLDB
1998
ACM
170views Database» more  VLDB 1998»
14 years 9 months ago
Advanced Data Processing in KRISYS: Modeling Concepts, Implementation Techniques, and Client/Server Issues
The increasing power of modern computers steadily opens up new application domains for advanced data processing such as engineering and knowledge-based applications. To meet their...
Stefan Deßloch, Theo Härder, Nelson Men...
CIKM
2003
Springer
15 years 2 months ago
Queueing analysis of relational operators for continuous data streams
Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling and analysis of var...
Qingchun Jiang, Sharma Chakravarthy